Open Access System for Information Sharing

Login Library

 

Article
Cited 76 time in webofscience Cited 90 time in scopus
Metadata Downloads
Full metadata record
Files in This Item:
There are no files associated with this item.
DC FieldValueLanguage
dc.contributor.authorWon, JM-
dc.contributor.authorPark, SY-
dc.contributor.authorLee, JS-
dc.date.accessioned2016-03-31T12:58:51Z-
dc.date.available2016-03-31T12:58:51Z-
dc.date.created2009-03-20-
dc.date.issued2002-12-01-
dc.identifier.issn0165-0114-
dc.identifier.other2002-OAK-0000002993-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/18838-
dc.description.abstractThis paper presents sufficient conditions on the parameters of the Takagi-Sugeno-Kang (TSK) fuzzy system under which the output of the TSK fuzzy system becomes monotonic with respect to its input. The output of the TSK fuzzy system is first differentiated with respect to its input and the parameter conditions are derived so as to make the derivative nonnegative. The parameter conditions are developed for both single-input and multi-input TSK fuzzy systems where the involved fuzzy membership functions are differentiable everywhere or bar some finite points. The derived monotonicity conditions consist of two parts: the conditions on the consequent parts and the conditions on the fuzzy membership functions. They are further characterized for the most important types of fuzzy membership functions. (C) 2002 Elsevier Science B.V. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE BV-
dc.relation.isPartOfFUZZY SETS AND SYSTEMS-
dc.subjectfuzzy constraint satisfaction-
dc.subjectmonotonic fuzzy system-
dc.subjectmonotonic function-
dc.subjectTSK fuzzy system-
dc.subjectIDENTIFICATION-
dc.subjectCONTROLLER-
dc.subjectALGORITHM-
dc.subjectNETWORKS-
dc.subjectMODELS-
dc.titleParameter conditions for monotonic Takagi-Sugeno-Kang fuzzy system-
dc.typeArticle-
dc.contributor.college전자전기공학과-
dc.identifier.doi10.1016/S0165-0114(02)00121-5-
dc.author.googleWon, JM-
dc.author.googlePark, SY-
dc.author.googleLee, JS-
dc.relation.volume132-
dc.relation.issue2-
dc.relation.startpage135-
dc.relation.lastpage146-
dc.contributor.id10200285-
dc.relation.journalFUZZY SETS AND SYSTEMS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationFUZZY SETS AND SYSTEMS, v.132, no.2, pp.135 - 146-
dc.identifier.wosid000179094700001-
dc.date.tcdate2019-01-01-
dc.citation.endPage146-
dc.citation.number2-
dc.citation.startPage135-
dc.citation.titleFUZZY SETS AND SYSTEMS-
dc.citation.volume132-
dc.contributor.affiliatedAuthorLee, JS-
dc.identifier.scopusid2-s2.0-0036888402-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc64-
dc.type.docTypeArticle-
dc.subject.keywordPlusIDENTIFICATION-
dc.subject.keywordPlusCONTROLLER-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusNETWORKS-
dc.subject.keywordPlusMODELS-
dc.subject.keywordAuthorfuzzy constraint satisfaction-
dc.subject.keywordAuthormonotonic fuzzy system-
dc.subject.keywordAuthormonotonic function-
dc.subject.keywordAuthorTSK fuzzy system-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryMathematics, Applied-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMathematics-

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

이진수LEE, JIN SOO
Dept. Convergence IT Engineering
Read more

Views & Downloads

Browse